Structural Vector Autoregressions with Nonnormal Residuals
Journal of Business & Economic Statistics, 2010, 28, 1, 159-168
LANNE, Markku, LUETKEPOHL, Helmut, Structural Vector Autoregressions with Nonnormal Residuals, Journal of Business & Economic Statistics, 2010, 28, 1, 159-168 - http://hdl.handle.net/1814/13399
Retrieved from Cadmus, EUI Research Repository
In structural vector autoregressive (SVAR) modeling, sometimes the identifying restrictions are insufficient for a unique specification of all shocks. In this paper it is pointed out that specific distributional assumptions can help in identifying the structural shocks. In particular, a mixture of normal distributions is considered as a possible model that can be used in this context. Our model setup enables us to test restrictions which are just-identifying in a standard SVAR framework. The results are illustrated using a U.S. macro data set and a system of U.S. and European interest rates.
Cadmus permanent link: http://hdl.handle.net/1814/13399
Files associated with this item
There are no files associated with this item.